Dec 19, 2020
Excellent course!!! It is actually a milestone for people like me who have trained models in Jupyter notebooks, but Tensorflow JS is actually a great way for the models to become 'alive'! Thanks!
Mar 17, 2021
This course is very practical and interesting.
I enjoyed the excitement I got along the way.
It was modeled to make you pass as long as you want to pass.
Thank you Laurence and Andrew.
By Ignacio R L•
May 4, 2020
Good course to use Tensorflow in your browser
By Himanshu Y•
Jul 31, 2021
Was insightful and fun, Thanks.
By Jefferson R•
Jan 18, 2021
Faltó un poco mas de contenido
By Dan R•
Jun 3, 2020
very amusing lectures!
By Taehun K•
Jan 2, 2020
By stephane d•
Jul 12, 2020
Laurence Moronay is really a great teacher and the course is very interesting and pleasant.
I Have removed 2 stars for the time wasted trying to make the examples and exercises provided with the course work :
=> Mobilenet Model version not compliant with the grader
=> A lot of WebGL issues (solved by setting backend parameter to "cpu")
Suggestion : report these issues during training to avoid hours spent on the forum
We can see people who already had these problems months ago and nothing is done to improve things
By Francesco B•
Nov 2, 2020
The course is good and interesting. It gives an overall idea on how to embed TF models in js. As in other courses of this specialisation, it is not an in-depth course but rather a fast-forward one: in my opinion this is good if you are not interested that much in these topics, not enough if you want to go deep. Nevertheless, contents are still comprehensible and concepts quite clearly explained. However, one might find more than one difficulties when trying to implement something by themselves.
By Tryggvi E•
Apr 12, 2020
Mildly interesting to see this work can be done in JS, but from my viewpoint: Why? I already can do it in Python... I am only stepping through this course on my way to the third and fourth courses in this specialization.
By Chris K•
Apr 18, 2020
Quizzes are based on syntax and spelling, which feels like a waste of time. Questions should be more about concepts. Examples are pretty basic.
By Igor M•
Jan 3, 2020
Too basic. All exercises are copy paste from the shown examples. All 4 weeks you can complete in just 1.
By Simon O•
Jan 19, 2020
Not as good as previous deep learning courses. The exams could have been a bit harder.
By Jeremy O C M•
Apr 27, 2021
the submission grader for all of the weeks need to be updated.
By check l•
Apr 4, 2021
Explain the accuracy requirements for the assignments
By Abungu B O•
Nov 1, 2020
ohh the last assignment on rock paper and scissors
By Stephan S•
Dec 23, 2019
A lot of coding and only a few ML/AI concepts.
By Jochen R•
Dec 17, 2019
it is very exhausting to pass the tests due to hardware and software prblems, though the programming is very easy
By Vitalii K•
Dec 16, 2020
A lot of explanation of obvious things. Also, excercises are low quality, with Week 3 and 4 quite hard to pass because of technical issues. Week 3 - need specific versions of the libraries, which are not provided, without which "the model is invalid". Week 4 - quite hard to collect training samples for the model to reach required accuracy, since the app crashes after ~200 examples and wipes them out - you have to start again.
By Yoni K•
Jun 25, 2021
So many technical issues!
90% of the time I dealt with technical issues such as make the web server run my code.
The course itself was very short and easy.
By Musalula S•
May 2, 2020
The course content is very good but the instructions on how to install Tensorflow 2.0 and Tensorflow.js in python 3 are not clear.
By Indira P•
May 12, 2021
The assignment system was sooo frustrating and wasting my time. Please fix it..
Oct 11, 2020
week 4 submission....